UNSPECIFIED (1997) Cadosa: A fuzzy expert system for differential diagnosis of obstructive sleep apnoea and related conditions. EXPERT SYSTEMS WITH APPLICATIONS, 12 (2). pp. 163-177. ISSN 0957-4174

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Abstract

Precise relationships between symptoms and diseases are rarely documented in the literature, and yet it is essential that the physician establishes a diagnostic label that will lend to the appropriate therapy. In obstructive sleep apnoea (a breathing disorder during sleep which is characterised by intermittent pauses in respiration) the borderline between normal and pathological is arbitrary As such, fuzzy sets provide an intuitively appealing framework for representing the medical knowledge. In this paper the expert system CADOSA for decision support in a hospital sleep clinic is presented. The medical knowledge in the system is stored in the form of fuzzy logical relationships between symptoms and diseases, between symptoms themselves and between symptom combinations and diseases. The symptoms present in the patient are confirmed by an interview, a physical examination, a questionnaire and laboratory tests, including an overnight oximetry study which measures oxygen saturation and heart rate. The fuzzy inference in the system is performed using the max-min compositional rule to calculate indication relations expressing occurrence and confirmability. These lead to confirmed and excluded diagnoses as well as diagnostic hypotheses. In an evaluation of CADOSA using 21 patients, the proportion diagnosed correctly as confirmed (excluded) obstructive sleep apnoea was 0.95 (1.00). (C) 1997 Elsevier Science Ltd.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Journal or Publication Title:	EXPERT SYSTEMS WITH APPLICATIONS
Publisher:	PERGAMON-ELSEVIER SCIENCE LTD
ISSN:	0957-4174
Date:	1997
Volume:	12
Number:	2
Number of Pages:	15
Page Range:	pp. 163-177
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/17929

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